xinguang_liu@163.comReliability is the probability that the system will perform its required function under specified conditions for a specified period of time.
This depends on a number of factors:
Reliability Engineering is a systems approach to planning for, designing in, verifying, and tracking the reliability of products throughout whole lifecycle to achieve reliability goals.
#> Fitting of the distribution ' weibull ' by maximum likelihood
#> Parameters :
#> estimate Std. Error
#> shape 3.8 0.889
#> scale 48.4 4.274
#> Loglikelihood: -39.3 AIC: 82.6 BIC: 83.2
#> Correlation matrix:
#> shape scale
#> shape 1.000 0.333
#> scale 0.333 1.000
Do evaluation on vendor A:
In a similar way, evaluation on vendor B:
So, A is better according to requirement.
The time at which 50% cracks would reach 1.6 inches = 0.126 millions cycles
Background: during new product qualification, lots of data generated every day but the raw record are in a mess. So the Ctr + C and Ctr + V doesn’t work here.
How to do data import, transformation, and tidy which can be used for further modeling study, and finially generate reports in batch automatically.
Background: routing sampling test under certain stress before shipment required for condition A, where some were extended to condition B.
Data collecting in every week, but what did the data indicate from reliability view?